Babylon.js · Digital Twin Engine

Initializing Digital Twin

Loading asset: Conveyor_Twin_v1.glb

Digital Twin for Production Line
Conveyor Production Line — Digital Twin
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Standby
SIM MODE
Production Line

Executive Overview

Line Status
Standby
Simulation Mode
Total Units Produced
0 units
Current Shift
Production Rate
0.0 units/min
Real-time moving average
Overall Equipment Effectiveness (OEE)
0.0%
Availability × Performance × Quality
Energy Consumed
0.000 kWh
Accumulated this session
Operating Cost
$0.00
Based on energy & maintenance
AI Analytics

Production Insights & Optimization

Energy Savings
0.0 %
Via Eco-Mode optimization
Carbon Footprint Reduction
0.0 kg CO₂
Compared to baseline
Anomaly Probability
0.8 %
System health score
Remaining Useful Life (RUL)
142.5 d
Days until next required service
System

Event Log

00:00:00System initialized. Ready.
LIVE 3D Interactive Model
Standby
3D canvas renders here
Live Optical Feed
Live Replica Status
Motor RPM --
Belt Speed -- m/s
Proximity --
Pieces Counted 0
Voltage V
Current A
Power kW
Power Factor
Voltage Readings (last 10)
Motor Control Speed Program

Select a preset to send direct PWM command to hardware.


Hardware Connection
ESP32 Bridge Disconnected
Drive Motor Disconnected
Proximity Sensor Disconnected
Temp Sensor Disconnected
NB2 Breaker Disconnected
RS485 Stats Disconnected

Power Control NB2 Breaker
OFF
⚠️

Opening the breaker will immediately cut AC power to the entire production station — motor, sensors and all field equipment will de-energise. Ensure the line is fully stopped before proceeding.


Camera Mode
SIM Virtual Conveyor Simulation
Standby
Simulation runs independently from hardware. Select a scenario, then press Run.
3D canvas renders here
0
RPM
Motor Speed
Offline
0.000
m/s
Belt Speed
Offline
25.0
°C
Motor Temp (Est.)
Ambient
Motor Kinematics

Speed vs. Simulation Time

t = 0 s
Thermal Model

Motor Temperature vs. Time

°C
Simulation

Event Log

00:00:00Simulation engine ready. Select a scenario and press Run.
Simulation speed 1x
0.1x 100x
AI Analytics

System Optimization

Remaining Useful Life
142.5 d
Predictive maintenance estimate
Anomaly Probability
0.8%
ML anomaly detection score
Efficiency Index
94.2%
Energy efficiency vs. baseline
Next Service
Nominal
Scheduled maintenance window
Energy Optimizer ACTIVE

Intelligent control loop dynamically manages motor PWM to minimize energy consumption while maintaining throughput targets.

AI Recommendation Log
07:18:00Eco-Mode: Activated energy saving profile.
07:18:05Optimizer: Settled at 100 RPM (Peak Efficiency).
07:18:10Advisory: Current belt torque is within normal limits.